metadata
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_APIS_OEBL_NER_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8018080668
- name: NER Recall
type: recall
value: 0.8484179544
- name: NER F Score
type: f_score
value: 0.824454773
license: mit
datasets:
- SteffRhes/APIS_OEBL__Named_Entity_Recognition
library_name: spacy
pipeline_tag: token-classification
| Feature | Description |
|---|---|
| Name | de_APIS_OEBL_NER_trf |
| Version | 1.0 |
| spaCy | >=3.6.0,<3.7.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
82.45 |
ENTS_P |
80.18 |
ENTS_R |
84.84 |
TRANSFORMER_LOSS |
52932.36 |
NER_LOSS |
52005.98 |
Sources
Trained on data originating from the APIS project and the Austrian Biographical Lexicon (ÖBL).
Reproducible training context (model m3): https://github.com/acdh-oeaw/veld_chain_7_train/
Dataset available here: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition